M E 498
Lecture and/or laboratory. Maximum of 6 credits may be applied toward an undergraduate degree.
Advance Topics in Rapid Prototyping And Rapid Manufacturing =============================================================== Class Instructor: Mark Ganter Office: 310 MEB Email: ganter@u You might think of this course as a follow-on to the RP/RM portion of ME 480 "Intro. to CAE". However, it is not required to have taken ME480 first. The course will be a combination of lecture (including guest), laboratory, and projects. The course goal is to expose students to both theoretical and hands-on application of as many of the RP/RM technologies as feasible. All students will be expected to work on a course project which is aligned with their interest and approved by instructor. Undergraduates must register for ME498N (SLN 14897) and graduates must register for ME599E (SLN 14933) Topics are likely to include some or all of the following: CAD/CAE/CAM Solids Modeling (including in-homogenous) Reverse Engineering / 3D scanning Rapid Prototyping/Manufacturing Processes Casting CNC Milling Direct Metal Deposition Fused Deposition Modeling (FDM) Inkjet Printing Investment Casting Laminated Object Manufacturing (LOM) Mold & Mold Making Selective Laser Sintering (SLS) Solid Ground Curing Stereolithography (SLA) Thermaljet Printing Three-Dimensional Printing Fab-at-Home Rep-Rap RP/RM Materials
Student learning goals
Training, instruction and exposure to most major RP equipment types (including task feasibility).
Designing, implimenting and testing the capabilities of multiple RP systems.
Designing, implimenting and testing the capabilities of multiple 3D scanning systems.
Understanding solid modeling within the context of RP/RM including hetergeneous modeling
Exploration of various RM processes.
Designing, developing, and executing a research project which furthers your (and your classmates) RP/RM experience.
General method of instruction
Lecture plus student executed labs.
ME 480 would be helpful but not required. Some skill in Mathematica would be useful.
Class assignments and grading
Homework (including creation of a solid modeling systems within Mathematica), hands-on Labs., and research project (including a report).
labs, research project, and maybe a midterm.